### Welcome to the TFUG X Kaggle Campaign hosted by TFUG Chandigarh.

There are 17 feature variables and 1 target variable - "Diabetes". This is a binary classification problem where 0 means no diabetes and 1 means diabetes. The task is to predict the probability of the person having diabetes provided the given data.

For this competition we have added some synthetic dataset to the acknowledged dataset and a part of the same synthetic dataset is used for public and private dataset. The public leaderboard is defined basis on 25% of the test data and private leaderboard on the remaining 75% of the test data.

## Files

*   **train_data.csv** - the training set
*   **test_data.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

This dataset is composed of various parameters namely,
*  `age`: 3-level age category (_AGEG5YR see codebook) 1 = 18-24, 9 = 60-64, 13 = 80 or older
*  `sex`: 0 = female, 1 = male
*  `HighChol`: 0 = no high cholesterol, 1 = high cholesterol
*  `CholCheck`: 0 = no cholesterol check in 5 years, 1 = yes cholesterol check in 5 years
*  `BMI`: Body Mass Index
*  `Smoker`: Have you smoked at least 100 cigarettes in your entire life? [Note: 5 packs = 100 cigarettes] 0 = no, 1 = yes
*  `HeartDiseaseorAttack`: Coronary heart disease (CHD) or myocardial infarction (MI) 0 = no, 1 = yes
*  `PhysActivity`: Physical activity in past 30 days - not including job 0 = no, 1 = yes
*  `Fruits`: Consume Fruit one or more times per day 0 = no, 1 = yes
*  `Veggies`: Consume Vegetables 1 or more times per day 0 = no, 1 = yes
*  `HvyAlcoholConsump`: Adult male: more than 14 drinks per week. Adult female: more than 7 drinks per week. 0 = no, 1 = yes
*  `GenHlth`: Would you say that in general your health is: (scale 1-5) 1 = excellent, 2 = very good, 3 = good, 4 = fair, 5 = poor
* `MentHlth`: Days of poor mental health scale 1-30 days
* `PhysHlth`: Physical illness or injury days in past 30 days scale 1-30
* `DiffWalk`: Do you have serious difficulty walking or climbing stairs? 0 = no, 1 = yes
* `Hypertension`: 0 = no hypertension, 1 = hypertension
* `Stroke`: 0 = no, 1 = yes
* `Diabetes`: 0 = no diabetes, 1 = diabetes (Target variable)